Securities Finance Analyst

Alpaca · Posted 3w ago

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Eligibility

Worldwide

Type

Full-time

Posted

3w ago

Tech

GoSQLVBA

Who We Are:

Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series D funding round brought our total investment to over $320 million, fueling our ambitious vision.

Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 9 million brokerage accounts.

Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.

Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator.

Our Team Members:

We're a dynamic team of 380+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!

We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.

Your Role:

The Securities Finance Analyst is responsible for managing a portfolio of borrowed and lent securities, maximizing profitability while minimizing risk, across trading, operations and engineering. The candidate will have a strong understanding of short selling facilitation, fully-paid securities lending, margin lending, and comprehensive financing solutions. The candidate should also have an interest in financing market structure across both securities and tokenization infrastructure. The candidate will work cross-functionally with internal and external stakeholders on product development, operations optimization and relationship management.

Responsibilities:

Identify and execute borrow and loan opportunities across various asset classes (equities, fixed income, ETFs) using both manual and automated trading strategies.
Leverage SQL, AI tools to streamline daily tasks, develop analytical tools, and automate data-driven decisions, Go experience preferred.
Collaborate with Product, Engineering, and Operations teams to optimize data pipelines, trading systems, operational efficiency and risk controls.
Monitor outstanding loans, recalls, and rates to optimize risk and profitability.
Build and maintain relationships with borrowers, lenders, custodians, and firm client partners.
Assess and manage counterparty, credit, and market risk while staying informed of market developments and regulatory changes.
Work with existing and new securities lending vendors on product development solutions.
Create automated workflow solutions for securities lending trading and operations.
Assist in infrastructure building and business development for tokenized equities financing.

Qualifications

Bachelor’s degree in Computer Science, Data Science, Mathematics, Finance, Economics or a related quantitative field.
1–3 years of experience in a technical or trading role, ideally with some exposure to securities lending, short selling, operations or related experience.
Series 7 and 63, or willingness to obtain within 90 days of employment.
Proficient in SQL, Excel VBA, AI automation tools, Go experience preferred.
Strong analytical, quantitative, and problem-solving abilities.
Familiarity with core financial instruments (equities, fixed income, ETFs, cryptocurrency) and general market mechanics.
Excellent collaboration and communication skills to work across teams.
Self-starter: high level of initiative and eagerness to learn about securities lending, product development, advanced trading concepts, and building automated trading strategies.